Research on the Synergistic Impact of the Quality of Content Generated by Artificial Intelligence on Users\' Intention to Use

• 1、Wuhan University of Science and Technology School of Management,Wuhan 430065

Abstract：With the vigorous development of artificial intelligence-generated content (AIGC) technology, its applications in multiple scenarios and fields have been increasingly extensive. Nevertheless, how to precisely develop and design AIGC in response to the diverse user demands, and carry out economical update and optimization to meet the usage intentions of diverse users has become a critical issue that enterprises urgently need to address. Based on the dual-factor theory, this paper collects relevant data through questionnaires and employs the fuzzy set qualitative comparative analysis (fsQCA) method to explore how the quality factors of artificial intelligence-generated content collaboratively influence users\' usage intentions. The study reveals that none of the individual quality dimensions of artificial intelligence-generated content are necessary conditions for the formation of users\' usage intentions. The formation of users\' usage intentions is complex and systematic. There exist five different combinations of quality dimensions of artificial intelligence-generated content for the formation of high-level users\' usage intentions. Among them, diversity, as a core condition, appears in all five different combinations, demonstrating the universality of diversity in users\' demand choices. This research enriches and expands the studies in the field of generative artificial intelligence and provides theoretical support for enterprises to develop and optimize AIGC applications.

Keywords： Generative artificial intelligence content quality user willingness to use the two-factor theory fuzzy set qualitative comparative analysis (fsQCA)